by NVISOsecurity · Agent Tool · ★ 396
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 396 |
| Forks | 74 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 72/100 |
| Open Issues | 2 |
| Last Updated | 2024-05-07 |
| Created | 2024-02-29 |
| Est. Tokens | ~155k |
cyber-security-llm-agents A collection of agents that use Large Language Models (LLMs) to perform tasks common on our day to day jobs in cyber security. Built on top of AutoGen. Released as part of our talks at RSAC2024: From Chatbot to Destroyer of Endpoints: Can ChatGPT Automate EDR Bypasses? The Always-On Purple Team: An Automated CI/CD for Detection Engineering Detecting the EDR running on a...
Looking for a cyber-security-llm-agents alternative? If you're comparing cyber-security-llm-agents with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A Test Project for a Network Security-oriented LLM Tool Emulating AutoGPT
Production-grade MCP server for Wazuh SIEM — 55 security tools for alert triage, threat hunting, vulnerability
🔥🔥🔥 AI security automation platform. Build visual workflows, deploy autonomous agents, and automate threat
Build AI-powered security tools. 50+ hands-on labs covering ML, LLMs, RAG, threat detection, DFIR, and red tea
A curated list of tools, papers, and datasets for applying AI to cybersecurity tasks. This list primarily focu
Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microso
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: